Software Improvement for Liquid Argon Neutrino Oscillation Physics - - PowerPoint PPT Presentation

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Software Improvement for Liquid Argon Neutrino Oscillation Physics - - PowerPoint PPT Presentation

May 29, 2023 346 likes •669 views

Software Improvement for Liquid Argon Neutrino Oscillation Physics Andres Medina, Bard College, NY Deana Del Vecchio, Saint Anselm College, NH Mario Johnson, Southern University, LA Dr. Tim Bolton, Dr. Glen Horton-Smith, Dr. David McKee LArTPC

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Software Improvement for Liquid Argon Neutrino Oscillation Physics

Andres Medina, Bard College, NY Deana Del Vecchio, Saint Anselm College, NH Mario Johnson, Southern University, LA

  • Dr. Tim Bolton, Dr. Glen Horton-Smith, Dr. David McKee
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LArTPC

  • Liquid Argon Time Projection Chamber
  • Reasons for using Argon
  • Purpose of LArTPC experiments
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SLIDE 3

ArgoNeuT

  • How does it work?
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SLIDE 4

Neutrino Beam Physics

  • What are neutrinos?
  • Why neutrinos?
  • Neutrino oscillations
  • What is neutrino mixing?
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SLIDE 5

Challenges in Programming

  • Learning to use C++
  • Programming within a framework (LArSoft)
  • Programming for detector independence
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SLIDE 6

Calculating Resolutions

By Deana Del Vecchio

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SLIDE 7

Goals:

  • Calibrating the uncertainty of the timing

differences between wires

  • Calculating the angular resolution between track

like objects

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SLIDE 8

Uncertainty on Wires

Spread in the angles Timing difference between hits on three consecutive wires

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SLIDE 9

Timing spread (1,3,5,7)

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SLIDE 10

The Uncertainty

Graphs of the Error VS The Timing Error Squared Error

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SLIDE 11

Differentiating between tracks

Can differentiate two track-like objects within .032 radians ( ~1.8°) and within 1 wire

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SLIDE 14
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SLIDE 15
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SLIDE 16
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SLIDE 18

Particles ID Identification for Tracks in LArTPC

MicroBooNE ArgoNeuT

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What have I been trying to do in the past 9 weeks?

  • ID identification for Tracks.
  • Figure out the particles that are inside the

detector in a particular event.

  • Why Kaons?

– Measurement of cosmogenic kaon backgrounds for proton decay searches

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SLIDE 20

Results

Kaons Energy: 0.5 GeV

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SLIDE 21
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Genie and Prodsingle

Prodsingle Generator MC Genie Generator MC

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SLIDE 23

Kaon Count

Prodsingle Genie

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Event Display

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SLIDE 25

Continue

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Problems with the Track and Possible Solution

  • The Track Identifier is not working well
  • Use others trackers such as Bezier Track
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SLIDE 27

In Conclusion…

  • Deana has developed an angular and timing

resolution filter for the framework

  • Mario has been developing ways to detect the

energy deposition of particles and calibrating Birk’s Constant

  • Andres has been working on an identifier for

particle tracks.

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SLIDE 28

Acknowledgements

  • Tim Bolton, Glenn Horton-Smith, David McKee
  • Larry Weaver and Kristan Corwin
  • National Science Foundation (NSF)
  • Kansas State University and the High Energy

Physics Group

  • Fellow REU Students
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SLIDE 29

Back up

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SLIDE 30

Bethe – Bloch Equation

β = v/c v = velocity of particle E = Energy of particle z = particle charge x = distance particle traveled c = speed of light e = electron charge me = electron rest mass n = electron density of target I = mean excitation of potential target ε0

= vacuum permittivity